smithery/microck

fabric

Intelligent pattern selection for Fabric CLI.

Installation

$ npx skills add smithery/microck --skill fabric

Summary

  • Intelligent pattern selection for Fabric CLI.
  • Automatically selects the right pattern from 242+ specialized prompts based on your intent - threat modeling, analysis, summarization, content creation, extraction, and more.
  • USE WHEN processing content, analyzing data, creating summaries, threat modeling, or transforming text.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 14,169 B
  • docs SUMMARY.md 338 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Fabric Skill

Setup Check - Fabric Repository

IMPORTANT: Before using this skill, verify the Fabric repository is available:

# Check if Fabric repo exists
if [ ! -d "$HOME/.claude/skills/fabric/fabric-repo" ]; then
  echo "Fabric repository not found. Cloning..."
  cd "$HOME/.claude/skills/fabric"
  git clone https://github.com/danielmiessler/fabric.git fabric-repo
  echo "Fabric repository cloned successfully."
else
  echo "Fabric repository found at $HOME/.claude/skills/fabric/fabric-repo"
fi

If the repo doesn't exist, clone it immediately before proceeding with any pattern selection.

When to Activate This Skill

Primary Use Cases:

  • "Create a threat model for..."
  • "Summarize this article/video/paper..."
  • "Extract wisdom/insights from..."
  • "Analyze this [code/malware/claims/debate]..."
  • "Improve my writing/code/prompt..."
  • "Create a [visualization/summary/report]..."
  • "Rate/review/judge this content..."

The Goal: Select the RIGHT pattern from 242+ available patterns based on what you're trying to accomplish.

🎯 Pattern Selection Strategy

When a user requests Fabric processing, follow this decision tree:

1. Identify Intent Category

Threat Modeling & Security:

  • Threat model → createthreatmodel or createstridethreat_model
  • Threat scenarios → createthreatscenarios
  • Security update → createsecurityupdate
  • Security rules → createsigmarules, writenucleitemplaterule, writesemgrep_rule
  • Threat analysis → analyzethreatreport, analyzethreatreport_trends

Summarization:

  • General summary → summarize
  • 5-sentence summary → create5sentence_summary
  • Micro summary → createmicrosummary or summarize_micro
  • Meeting → summarize_meeting
  • Paper/research → summarize_paper
  • Video/YouTube → youtube_summary
  • Newsletter → summarize_newsletter
  • Code changes → summarizegitchanges or summarizegitdiff

Wisdom Extraction:

  • General wisdom → extract_wisdom
  • Article wisdom → extractarticlewisdom
  • Book ideas → extractbookideas
  • Insights → extractinsights or extractinsights_dm
  • Main idea → extractmainidea
  • Recommendations → extract_recommendations
  • Controversial ideas → extractcontroversialideas

Analysis:

  • Malware → analyze_malware
  • Code → analyzecode or reviewcode
  • Claims → analyze_claims
  • Debate → analyze_debate
  • Logs → analyze_logs
  • Paper → analyze_paper
  • Threat report → analyzethreatreport
  • Product feedback → analyzeproductfeedback
  • Sales call → analyzesalescall

Content Creation:

  • PRD → create_prd
  • Design document → createdesigndocument
  • User story → createuserstory
  • Visualization → createvisualization, createmermaidvisualization, createmarkmap_visualization
  • Essay → write_essay
  • Report finding → createreportfinding
  • Newsletter entry → createnewsletterentry

Improvement:

  • Writing → improve_writing
  • Academic writing → improveacademicwriting
  • Prompt → improve_prompt
  • Report finding → improvereportfinding
  • Code → review_code

Rating/Evaluation:

  • AI response → rateairesponse
  • Content quality → rate_content
  • Value assessment → rate_value
  • General judgment → judge_output

2. Execute Pattern

# Basic format
fabric [input] -p [selected_pattern]

# From URL
fabric -u "URL" -p [pattern]

# From YouTube
fabric -y "YOUTUBE_URL" -p [pattern]

# From file
cat file.txt | fabric -p [pattern]

# Direct text
fabric "your text here" -p [pattern]

📚 Pattern Categories (242 Total)

Threat Modeling & Security (15 patterns)

  • createthreatmodel - General threat modeling
  • createstridethreat_model - STRIDE methodology
  • createthreatscenarios - Threat scenario generation
  • createsecurityupdate - Security update documentation
  • createsigmarules - SIGMA detection rules
  • writenucleitemplate_rule - Nuclei scanner templates
  • writesemgreprule - Semgrep static analysis rules
  • analyzethreatreport - Threat report analysis
  • analyzethreatreport_cmds - Extract commands from threat reports
  • analyzethreatreport_trends - Identify threat trends
  • tthreatmodel_plans - Threat model for plans
  • asksecurebydesignquestions - Secure by design questions
  • createnetworkthreat_landscape - Network threat landscape
  • analyze_incident - Incident analysis
  • analyze_risk - Risk analysis

Summarization (20 patterns)

  • summarize - General summarization
  • create5sentence_summary - Ultra-concise 5-line summary
  • createmicrosummary - Micro summary
  • create_summary - Detailed summary
  • summarize_micro - Micro summarization
  • summarize_meeting - Meeting notes summary
  • summarize_paper - Academic paper summary
  • summarize_lecture - Lecture summary
  • summarize_newsletter - Newsletter summary
  • summarize_debate - Debate summary
  • summarize_legislation - Legislation summary
  • summarizerpgsession - RPG session summary
  • summarizeboardmeeting - Board meeting summary
  • summarizegitchanges - Git changes summary
  • summarizegitdiff - Git diff summary
  • summarize_pull-requests - PR summary
  • summarize_prompt - Prompt summary
  • youtube_summary - YouTube video summary
  • createulsummary - Unsupervised Learning summary
  • createcybersummary - Cybersecurity summary

Extraction (30+ patterns)

  • extract_wisdom - General wisdom extraction
  • extractarticlewisdom - Article-specific wisdom
  • extractbookideas - Book ideas
  • extract_insights - General insights
  • extractinsightsdm - Daniel Miessler style insights
  • extractmainidea - Core message
  • extract_recommendations - Recommendations
  • extract_ideas - Ideas from content
  • extract_questions - Questions raised
  • extract_predictions - Predictions made
  • extractcontroversialideas - Controversial points
  • extractbusinessideas - Business opportunities
  • extract_skills - Skills mentioned
  • extract_patterns - Patterns identified
  • extract_sponsors - Sponsor mentions
  • extract_references - References cited
  • extract_instructions - Instructions from content
  • extract_jokes - Humor extraction
  • extractprimaryproblem - Main problem
  • extractprimarysolution - Main solution
  • extractproductfeatures - Product features
  • extractcoremessage - Core message
  • extractalgorithmupdate_recommendations - Algorithm recommendations
  • extractextraordinaryclaims - Extraordinary claims
  • extractmostredeeming_thing - Most valuable aspect

Analysis (35+ patterns)

  • analyze_claims - Claim analysis
  • analyze_malware - Malware analysis
  • analyze_code - Code analysis
  • analyze_paper - Paper analysis
  • analyze_logs - Log analysis
  • analyze_debate - Debate analysis
  • analyze_incident - Incident analysis
  • analyze_comments - Comment analysis
  • analyze_answers - Answer analysis
  • analyzeemailheaders - Email header analysis
  • analyzemilitarystrategy - Military strategy
  • analyze_mistakes - Mistake analysis
  • analyze_personality - Personality analysis
  • analyze_presentation - Presentation analysis
  • analyzeproductfeedback - Product feedback
  • analyze_proposition - Proposition analysis
  • analyze_prose - Prose analysis
  • analyze_risk - Risk analysis
  • analyzesalescall - Sales call analysis
  • analyzespiritualtext - Spiritual text analysis
  • analyzetechimpact - Tech impact analysis
  • analyzethreatreport - Threat report analysis
  • analyze_bill - Legislation analysis
  • analyze_candidates - Candidate analysis
  • analyzecfpsubmission - CFP submission analysis
  • analyzeterraformplan - Terraform plan analysis
  • analyzeinterviewertechniques - Interviewer technique analysis

Creation (50+ patterns)

  • create_prd - Product Requirements Document
  • createdesigndocument - Design documentation
  • createuserstory - User stories
  • createcodingproject - Coding project
  • createcodingfeature - Code features
  • createmermaidvisualization - Mermaid diagrams
  • createmarkmapvisualization - Markmap mindmaps
  • create_visualization - General visualizations
  • createthreatmodel - Threat models
  • createstridethreat_model - STRIDE threat models
  • createthreatscenarios - Threat scenarios
  • createreportfinding - Report findings
  • createnewsletterentry - Newsletter content
  • create_keynote - Keynote presentations
  • createacademicpaper - Academic papers
  • createflashcards - Study flashcards
  • create_quiz - Quizzes
  • creategraphfrom_input - Graphs
  • create_tags - Content tags
  • createartprompt - Art generation prompts
  • create_command - CLI commands
  • create_pattern - Fabric patterns
  • create_logo - Logo designs
  • createpodcastimage - Podcast imagery
  • createsigmarules - SIGMA rules
  • createvideochapters - Video chapters
  • createupgradepack - Upgrade documentation

Improvement (10 patterns)

  • improve_writing - General writing improvement
  • improveacademicwriting - Academic writing
  • improve_prompt - Prompt engineering
  • improvereportfinding - Report findings
  • review_code - Code review
  • review_design - Design review
  • refinedesigndocument - Design refinement
  • humanize - Humanize AI text
  • enrichblogpost - Blog enhancement
  • clean_text - Text cleanup

Rating/Judgment (8 patterns)

  • rateairesponse - Rate AI outputs
  • rateairesult - Rate AI results
  • rate_content - Rate content quality
  • rate_value - Rate value proposition
  • judge_output - General judgment
  • labelandrate - Label and rate
  • check_agreement - Agreement checking
  • arbiter-evaluate-quality - Quality evaluation

🔄 Updating Patterns

The Fabric repository is included as a snapshot in ${PAI_DIR}/skills/fabric/fabric-repo/.

To update to latest patterns:

# Clone fresh Fabric repo
cd /tmp
git clone --depth 1 https://github.com/danielmiessler/fabric.git

# Copy new patterns to PAI
rm -rf ${PAI_DIR}/skills/fabric/fabric-repo
cp -r fabric ${PAI_DIR}/skills/fabric/fabric-repo

# Cleanup
rm -rf /tmp/fabric

Or install Fabric separately and use local patterns:

# If you have Fabric installed locally
go install github.com/danielmiessler/fabric@latest
fabric --updatepatterns
# Patterns will be in ~/.config/fabric/patterns/

To see all available patterns:

ls ${PAI_DIR}/skills/fabric/fabric-repo/data/patterns/
# OR from your local Fabric install:
ls ~/.config/fabric/patterns/

💡 Usage Examples

Threat Modeling:

# User: "Create a threat model for our new API"
fabric "API that handles user authentication and payment processing" -p create_threat_model

Summarization:

# User: "Summarize this blog post"
fabric -u "https://example.com/blog-post" -p summarize

# User: "Give me a 5-sentence summary"
fabric -u "https://example.com/article" -p create_5_sentence_summary

Wisdom Extraction:

# User: "Extract wisdom from this video"
fabric -y "https://youtube.com/watch?v=..." -p extract_wisdom

# User: "What are the main ideas?"
fabric -u "URL" -p extract_main_idea

Analysis:

# User: "Analyze this code for issues"
fabric "$(cat code.py)" -p analyze_code

# User: "Analyze these security claims"
fabric "security claims text" -p analyze_claims

🎯 Pattern Selection Decision Matrix

User Request Contains Likely Intent Recommended Patterns
"threat model" Security modeling createthreatmodel, createstridethreat_model
"summarize", "summary" Summarization summarize, create5sentence_summary
"extract wisdom", "insights" Wisdom extraction extractwisdom, extractinsights
"analyze [X]" Analysis analyze_[X] (match X to pattern)
"improve", "enhance" Improvement improvewriting, improveprompt
"create [visualization]" Visualization createmermaidvisualization, createmarkmapvisualization
"rate", "judge", "evaluate" Rating ratecontent, judgeoutput
"main idea", "core message" Core extraction extractmainidea, extractcoremessage

🚀 Advanced Usage

Pipe content through Fabric:

cat article.txt | fabric -p extract_wisdom
pbpaste | fabric -p summarize
curl -s "https://..." | fabric -p analyze_claims

Process YouTube videos:

# Fabric handles download + transcription + processing
fabric -y "https://youtube.com/watch?v=..." -p youtube_summary

Chain patterns (manual):

# Extract then summarize
fabric -u "URL" -p extract_wisdom > wisdom.txt
cat wisdom.txt | fabric -p create_5_sentence_summary

📖 Supplementary Resources

Full Pattern List: ls ${PAIDIR}/skills/fabric/fabric-repo/data/patterns/ Fabric Repo: ${PAIDIR}/skills/fabric/fabric-repo/ Fabric Documentation: https://github.com/danielmiessler/fabric Pattern Templates: See ${PAIDIR}/skills/fabric/fabric-repo/data/patterns/officialpattern_template/

🔑 Key Insight

The skill's value is in selecting the RIGHT pattern for the task.

When user says "Create a threat model using Fabric", your job is to:

  1. Recognize "threat model" intent
  2. Know available options: createthreatmodel, createstridethreatmodel, createthreat_scenarios
  3. Select the best match (usually createthreatmodel unless STRIDE specified)
  4. Execute: fabric "[content]" -p createthreatmodel

Not: "Here are the patterns, pick one" Instead: "I'll use createthreatmodel for this" → execute immediately